• Title/Summary/Keyword: AI education learning outcome

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Domestic Research Trend of AI Education Program: A Scoping Review (국내 AI 교육 프로그램 연구동향 분석: 주제범위 문헌고찰 방법론을 적용하여)

  • Han, Jeongyun;Huh, Sun Young
    • Journal of The Korean Association of Information Education
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    • v.25 no.6
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    • pp.879-890
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    • 2021
  • AI education is being emphasized nationwide as a literacy education. At this point, it is necessary to identify critical issues and suggest the direction of future research by examining domestic AI education research trends. To this end, the study applied the scoping review method. A total of 29 AI educational studies from 2017 to 2020 in South Korea were analyzed. As a result, it was confirmed that the number of studies increased rapidly in 2020, and a large proportion of studies targeted elementary school students. In addition, the study found that AI principles were treated as contents at a high rate, both cognitive and affective aspects were frequently reported as a learning outcome, and various practice environments were used relatively evenly. Based on the results, the direction of future research was discussed and suggested.

A Machine Learning Model Learning and Utilization Education Curriculum for Non-majors (비전공자 대상 머신러닝 모델 학습 및 활용교육 커리큘럼)

  • Kyeong Hur
    • Journal of Practical Engineering Education
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    • v.15 no.1
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    • pp.31-38
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    • 2023
  • In this paper, a basic machine learning model learning and utilization education curriculum for non-majors is proposed, and an education method using Orange machine learning model learning and analysis tools is proposed. Orange is an open-source machine learning and data visualization tool that can create machine learning models by learning data using visual widgets without complex programming. Orange is a platform that is widely used by non-major undergraduates to expert groups. In this paper, a basic machine learning model learning and utilization education curriculum and weekly practice contents for one semester are proposed. In addition, in order to demonstrate the reality of practice contents for machine learning model learning and utilization, we used the Orange tool to learn machine learning models from categorical data samples and numerical data samples, and utilized the models. Thus, use cases for predicting the outcome of the population were proposed. Finally, the educational satisfaction of this curriculum is surveyed and analyzed for non-majors.